ArticleSensors (Basel, Switzerland)2022
A Smartphone-Based Disposable Hemoglobin Sensor Based on Colorimetric Analysis.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Microfluidics for Blood Disorders and Hematological Disease Monitoring and Modeling.International journal of molecular sciences · 2026Review
- SIC based RL for massive MIMO NOMA signal detection for different modulation schemes under diverse channel conditions.Scientific reports · 2025Article
- A label-free nanowell-based impedance sensor for ten-minute SARS-CoV-2 detection.Sensors & diagnostics · 2025Article
- Portable Cell Tracking Velocimetry for Quantification of Intracellular Fe Concentration of Blood Cells.Micromachines · 2025Article
- Microfluidic Assays for CD4 T Lymphocyte Counting: A Review.Biosensors · 2025Review
- Integrating optical and electrical sensing with machine learning for advanced particle characterization.Biomedical microdevices · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Hemoglobin is a biomarker of interest for the diagnosis and prognosis of various diseases such as anemia, sickle cell disease, and thalassemia. In this paper, we present a disposable device that has the potential of being used in a setting for accurately quantifying hemoglobin levels in whole blood based on colorimetric analysis using a smartphone camera. Our biosensor employs a disposable microfluidic chip which is made using medical-grade tapes and filter paper on a glass slide in conjunction with a custom-made PolyDimethylSiloaxane (PDMS) micropump for enhancing capillary flow. Once the blood flows through the device, the glass slide is imaged using a smartphone equipped with a custom 3D printed attachment. The attachment has a Light Emitting Diode (LED) that functions as an independent light source to reduce the noise caused by background illumination and external light sources. We then use the RGB values obtained from the image to quantify the hemoglobin levels. We demonstrated the capability of our device for quantifying hemoglobin in Bovine Hemoglobin Powder, Frozen Beef Blood, and human blood. We present a logarithmic model that specifies the relationship between the Red channel of the RGB values and Hemoglobin concentration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.